Performance Evaluation of Wave Input Reduction Techniques for Modeling Inter-Annual Sandbar Dynamics SCIE SCOPUS

Cited 2 time in WEB OF SCIENCE Cited 1 time in Scopus
Title
Performance Evaluation of Wave Input Reduction Techniques for Modeling Inter-Annual Sandbar Dynamics
Author(s)
de Queiroz, Bruna; Scheel, Freek; Caires, Sofia; Walstra, Dirk-Jan; Olij, Derrick; Yoo, Jeseon; Reniers, Ad; de Boer, Wiebe
KIOST Author(s)
Yoo, Jeseon(유제선)
Publication Year
2019-05
Abstract
In process-based numerical models, reducing the amount of input parameters, known as input reduction (IR), is often required to reduce the computational effort of these models and to enable long-term, ensemble predictions. Currently, a comprehensive performance assessment of IR-methods is lacking, which hampers guidance on selecting suitable methods and settings in practice. In this study, we investigated the performance of 10 IR-methods and 36 subvariants for wave climate reduction to model the inter-annual evolution of nearshore bars. The performance of reduced wave climates is evaluated by means of a brute force simulation based on the full climate. Additionally, we tested how the performance is affected by the number of wave conditions, sequencing, and duration of the reduced wave climate. We found that the Sediment Transport Bins method is the most promising method. Furthermore, we found that the resolution in directional space is more important for the performance than the resolution in wave height. The results show that a reduced wave climate with fewer conditions applied on a smaller timescale performs better in terms of morphology than a climate with more conditions applied on a longer timescale. The findings of this study can be applied as initial guidelines for selecting input reduction methods at other locations, in other models, or for other domains.
ISSN
2077-1312
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/638
DOI
10.3390/jmse7050148
Bibliographic Citation
JOURNAL OF MARINE SCIENCE AND ENGINEERING, v.7, no.5, 2019
Publisher
MDPI
Keywords
input reduction; morphodynamics; sandbars; process-based modeling; wave climate; sequencing; Markov Chain; Monte Carlo
Type
Article
Language
English
Document Type
Article
Publisher
MDPI
Related Researcher
Research Interests

Coastal disaster,Coastal numerical modeling,Coastal remote sensing,연안재해,수치모델링,연안 원격탐사

Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse